(19)
(11) EP 3 893 112 A3

(12) EUROPEAN PATENT APPLICATION

(88) Date of publication A3:
17.11.2021 Bulletin 2021/46

(43) Date of publication A2:
13.10.2021 Bulletin 2021/41

(21) Application number: 21170887.0

(22) Date of filing: 28.04.2021
(51) International Patent Classification (IPC): 
G06F 9/50(2006.01)
G06N 3/04(2006.01)
 G06N 3/063(2006.01)
(52) Cooperative Patent Classification (CPC):
G06F 9/5083; G06N 3/0454; G06N 3/063
(84) Designated Contracting States:
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated Extension States:
BA ME
Designated Validation States:
KH MA MD TN

(30) Priority: 12.06.2020 CN 202010537231

(71) Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO. LTD.
100085 Beijing (CN)

(72) Inventors:
  • YANG, Hongtian
    Beijing, 100085 (CN)
  • HE, Shengyi
    Beijing, 100085 (CN)
  • WANG, Xuejun
    Beijing, 100085 (CN)

(74) Representative: Maiwald Patent- und Rechtsanwaltsgesellschaft mbH 
Elisenhof Elisenstraße 3
80335 München
80335 München (DE)


(56) References cited: : 
   
       


    (54) METHOD AND APPARATUS FOR SCHEDULING DEEP LEARNING REASONING ENGINES, DEVICE, AND MEDIUM


    (57) A method for scheduling deep learning reasoning engines is provided, which involve artificial intelligence, deep learning and chip technology. The specific implementation solution is: determining, in response to a scheduling request for a current reasoning task from an application layer, a type of the current reasoning task; calculating a total load of each of one or more reasoning engines after executing the current reasoning task of the type; comparing the total loads of the one or more reasoning engines to obtain a comparison result, and determining a target reasoning engine for executing the current reasoning task from the one or more reasoning engines according to the comparison result; returning an index of the target reasoning engine to the application layer, in which the index is used to indicate a call path of the target reasoning engine. Further, an apparatus for scheduling deep learning reasoning engines, an electronic device, a storage medium, a computer program product and a chip are provided.







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